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. 2022 Mar 17;12(3):258.
doi: 10.3390/metabo12030258.

Association between Visceral Adipose Tissue Metabolism and Alzheimer's Disease Pathology

Affiliations

Association between Visceral Adipose Tissue Metabolism and Alzheimer's Disease Pathology

Shin Kim et al. Metabolites. .

Abstract

The visceral adipose tissue (VAT) has been recognized as an endocrine organ, and VAT dysfunction could be a risk factor for Alzheimer's disease (AD). We aimed to evaluate the association of VAT metabolism with AD pathology. This cross-sectional study included 54 older subjects with cognitive impairment who underwent 2-deoxy-2-[fluorine-18]-fluoro-D-glucose (18F-FDG) torso positron emission tomography (PET) and 18F-florbetaben brain PET. 18F-FDG uptake in VAT on 18F-FDG PET images was used as a marker of VAT metabolism, and subjects were classified into high and low VAT metabolism groups. A voxel-based analysis revealed that the high VAT metabolism group exhibited a significantly higher cerebral amyloid-β (Aβ) burden than the low VAT metabolism group. In the volume-of-interest analysis, multiple linear regression analyses with adjustment for age, sex, and white matter hyperintensity volume revealed that 18F-FDG uptake in VAT was significantly associated with the cerebral Aβ burden (β = 0.359, p = 0.007). In conclusion, VAT metabolism was associated with AD pathology in older subjects. Our findings suggest that VAT dysfunction could contribute to AD development.

Keywords: Alzheimer’s disease; adipose tissue; amyloid-β; glucose metabolism.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Flow diagram of the study population.
Figure 2
Figure 2
Voxel-based comparison of cerebral Aβ burden between the high and low visceral adipose tissue (VAT) metabolism groups. The statistical parameter mapping t-maps were superimposed on the volume-rendered magnetic resonance imaging (MRI) (A) and T1-weighted template in the axial plane (B) for the high VAT metabolism group > low VAT metabolism group (p < 0.005, uncorrected at voxel-level, cluster size > 100 voxels).
Figure 3
Figure 3
Association of visceral adipose tissue (VAT) metabolism with cerebral amyloid burden. Pearson’s correlation analysis revealed that VAT maximum standardized uptake volume (SUVmax) correlated positively with composite regional standardized 18F-FBB uptake value ratios (SUVRFBB) (A), and all regional SUVRFBB values in the bilateral lateral frontal (B,C), lateral temporal (D,E), and lateral parietal (F,G) cortices, as well as the bilateral cingulate cortices (H,I).

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References

    1. Braak H., Braak E. Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol. 1991;82:239–259. doi: 10.1007/BF00308809. - DOI - PubMed
    1. Hardy J.A., Higgins G.A. Alzheimer’s disease: The amyloid cascade hypothesis. Science. 1992;256:184–185. doi: 10.1126/science.1566067. - DOI - PubMed
    1. Kiliaan A.J., Arnoldussen I.A., Gustafson D.R. Adipokines: A link between obesity and dementia? Lancet Neurol. 2014;13:913–923. doi: 10.1016/S1474-4422(14)70085-7. - DOI - PMC - PubMed
    1. Misiak B., Leszek J., Kiejna A. Metabolic syndrome, mild cognitive impairment and Alzheimer’s disease—The emerging role of systemic low-grade inflammation and adiposity. Brain Res. Bull. 2012;89:144–149. doi: 10.1016/j.brainresbull.2012.08.003. - DOI - PubMed
    1. Pichiah P.B.T., Sankarganesh D., Arunachalam S., Achiraman S. Adipose-Derived Molecules-Untouched Horizons in Alzheimer’s Disease Biology. Front. Aging Neurosci. 2020;12:17. doi: 10.3389/fnagi.2020.00017. - DOI - PMC - PubMed

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